Pick’n’Treat
Building a Unified Food Ordering & Dining Ecosystem for Pick’n’Treat
A multi-service food-tech platform combining delivery, dine-in, pickup, ONDC connectivity, and AI-powered healthy food discovery into one seamless experience.
Overview
TechnoToil developed a complete ecosystem including Mobile Applications, Web Platform, Backend Infrastructure, ONDC integration, and AI-powered discovery— bringing all stakeholders into one unified platform.
Solution Delivered
- Food ordering (delivery, dine-in, pickup)
- Table booking with pre-ordering
- AI-powered food discovery and recommendations
- ONDC-based restaurant expansion
- Centralized admin and operational control
The Challenge
Limited Service Models
Most platforms focused only on delivery, restricting flexibility.
Dine-In & Booking
No seamless way to pre-book tables with food ordering.
Pickup Experience
Unstructured takeaway workflows and poor UX.
Healthy Discovery
Lack of categorization and visibility for healthy food options.
System Components
Backend
Node.js powered scalable APIs
Database
Real-time data & order management
AI Engine
Health classification & recommendations
Infrastructure
Cloud-ready scalable system
Business Outcome
- Users gained flexibility across delivery, dine-in, and pickup
- Restaurants expanded reach through ONDC network
- AI improved personalization and engagement
- Healthy food discovery enhanced user lifestyle choices
- Operations became structured and efficient
- Platform became scalable for future growth
TechnoToil’s Approach
Creating a Unified Food Ordering Experience
We developed integrated mobile and web applications that allowed users to browse restaurants, select service types (delivery, dine-in, or pickup), and place orders seamlessly from a single platform.
Impact: Users gained a centralized solution for all food-ordering needs, eliminating the need to switch between multiple applications.
Enabling Dine-In Pre-Booking with Pre-Ordering
To enhance dine-in journeys, we introduced table reservation and meal pre-ordering functionality, allowing customers to plan their dining experience in advance.
Impact:
Customers reduced waiting time, while restaurants improved table utilization and operational efficiency.
Designing a Structured Pickup (Takeaway) Experience
We built a streamlined pickup workflow enabling users to place advance orders, select pickup times, and collect food directly from restaurants.
Impact:
Provided faster, cost-effective alternatives to delivery while reducing dependency on logistics operations.
Integrating ONDC for Ecosystem Expansion
TechnoToil integrated ONDC APIs to enable access to a decentralized restaurant network, supporting interoperability and broader vendor participation.
Impact:
The platform expanded beyond a closed system, increasing restaurant availability and offering users greater choice.
Introducing AI-Powered Health-Based Discovery
An AI-driven system was implemented to identify healthy dishes, categorize menu items, and recommend food based on user health preferences.
Impact:
Users made informed dietary decisions, increasing engagement and trust in the platform.
Building a Scalable and Reliable Backend System
Using Node.js, we developed a backend architecture capable of managing multiple service types, real-time order updates, and high concurrent user traffic.
Impact:
Ensured platform stability, performance, and scalability during peak usage.
Delivering a Consistent Cross-Platform Experience
We used Flutter for Android and iOS applications and React.js for the web platform to deliver a unified and high-performance user experience.
Impact:
Users experienced consistent functionality and performance across all devices.
